Node.js implementation of Interactive Feedback MCP with modern web-based UI
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Updated
Aug 22, 2025 - JavaScript
Node.js implementation of Interactive Feedback MCP with modern web-based UI
Multi-AI consensus MCP server that queries multiple AI models (OpenAI, Claude, Gemini, custom APIs) in parallel and synthesizes responses to reduce bias and improve accuracy. A Python implementation of the wisdom-of-crowds approach for AI decision making.
A Model Context Protocol (MCP) server that allows MCP clients (Cursor, VSCode, Claude Desktop, etc.) to read and search any directory containing Markdown notes, such as an Obsidian vault. This server exposes a rich, read-only toolkit of obsidian_-prefixed MCP tools for working with vault metadata (tags, links, frontmatter), filenames, and more
A Python-based server implementation of the Model Context Protocol (MCP) designed for Retrieval-Augmented Generation (RAG) workflows. It manages the flow of context, tool invocation and model output in one unified service. Supports modular “Models” and “Modules” directories for extensible integrations, environment configuration, and easy deployment
A curated directory of vibecoding tools, AI coding assistants, and the most complete library of Cursor rules, prompts, and workflows for faster, smarter development.
Domain MCP server for AI-powered Dynadot management. Use Claude, Cursor, or any MCP client to manage domains through natural language. 106 API commands for domains, DNS, transfers, contacts, and more.
MCP for OPENAI SORA, mcp tool for Sora 2 generated videos gentle watermark remover @thirdme.com
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